Peter Santer

3.6k total citations · 1 hit paper
26 papers, 2.5k citations indexed

About

Peter Santer is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Peter Santer has authored 26 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Peter Santer's work include Lipoproteins and Cardiovascular Health (6 papers), Cancer, Lipids, and Metabolism (4 papers) and MicroRNA in disease regulation (4 papers). Peter Santer is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Cancer, Lipids, and Metabolism (4 papers) and MicroRNA in disease regulation (4 papers). Peter Santer collaborates with scholars based in Austria, Italy and United Kingdom. Peter Santer's co-authors include Johann Willeit, Stefan Kiechl, Manuel Mayr, Peter Willeit, Agnes Mayr, Georg Egger, Sotirios Tsimikas, Georg Schett, Florian Kronenberg and Qingbo Xu and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Diabetes.

In The Last Decade

Peter Santer

25 papers receiving 2.5k citations

Hit Papers

Lipidomics Profiling and Risk of Cardiovascular Disease i... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Santer Austria 18 1.0k 789 573 477 387 26 2.5k
Bernd Hohenstein Germany 26 1.1k 1.1× 722 0.9× 445 0.8× 362 0.8× 650 1.7× 87 3.1k
Elda Favari Italy 30 664 0.7× 1.4k 1.8× 543 0.9× 449 0.9× 341 0.9× 73 2.5k
Miguel Ángel Hernández-Presa Spain 16 581 0.6× 802 1.0× 387 0.7× 713 1.5× 657 1.7× 26 2.4k
Mónica Ortego Spain 14 639 0.6× 939 1.2× 427 0.7× 616 1.3× 618 1.6× 20 2.3k
Marina Camera Italy 33 717 0.7× 1.1k 1.4× 459 0.8× 1.1k 2.3× 695 1.8× 108 3.9k
Julia Blanco Spain 28 854 0.8× 292 0.4× 334 0.6× 537 1.1× 521 1.3× 43 2.7k
Rui‐Xia Xu China 33 785 0.8× 1.7k 2.2× 630 1.1× 1.0k 2.1× 418 1.1× 158 3.5k
Jürgen Meyer Germany 20 578 0.6× 697 0.9× 424 0.7× 747 1.6× 539 1.4× 32 2.6k
Livia Pisciotta Italy 26 497 0.5× 1.4k 1.7× 431 0.8× 566 1.2× 143 0.4× 105 2.3k
Thimoteus Speer Germany 27 640 0.6× 534 0.7× 217 0.4× 497 1.0× 239 0.6× 80 2.5k

Countries citing papers authored by Peter Santer

Since Specialization
Citations

This map shows the geographic impact of Peter Santer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Santer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Santer more than expected).

Fields of papers citing papers by Peter Santer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Santer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Santer. The network helps show where Peter Santer may publish in the future.

Co-authorship network of co-authors of Peter Santer

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Santer. A scholar is included among the top collaborators of Peter Santer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Santer. Peter Santer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gutmann, Clemens, Temo Barwari, Christian Schulte, et al.. (2025). Platelets and inflammation—insights from platelet non-coding RNA content and release in the Bruneck study and the PACMAN-AMI trial. Cardiovascular Research. 121(9). 1392–1406.
2.
Si, Jiyeon, Jorge F. Vázquez‐Castellanos, Ann Gregory, et al.. (2022). Long-term life history predicts current gut microbiome in a population-based cohort study. Nature Aging. 2(10). 885–895. 18 indexed citations
3.
Willeit, Karin, Peter Santer, Lena Tschiderer, et al.. (2022). Association of desphospho-uncarboxylated matrix gla protein with incident cardiovascular disease and all-cause mortality: Results from the prospective Bruneck Study. Atherosclerosis. 353. 20–27. 4 indexed citations
4.
Barwari, Temo, Seda Eminaga, Paul C. Armstrong, et al.. (2017). Abstract 19935: MicroRNA-21 Regulates Transforming Growth Factor Beta-1 Release From Platelets: A Novel Mechanism for the Anti-Fibrotic Effects of MicroRNA-21 Inhibition. Circulation. 1 indexed citations
5.
Paige, Ellie, Katya L Masconi, Sotirios Tsimikas, et al.. (2017). Lipoprotein(a) and incident type-2 diabetes: results from the prospective Bruneck study and a meta-analysis of published literature. Cardiovascular Diabetology. 16(1). 38–38. 80 indexed citations
6.
Pechlaner, Raimund, Sotirios Tsimikas, Xiaoke Yin, et al.. (2017). Very-Low-Density Lipoprotein–Associated Apolipoproteins Predict Cardiovascular Events and Are Lowered by Inhibition of APOC-III. Journal of the American College of Cardiology. 69(7). 789–800. 130 indexed citations
7.
Yin, Xiaoke, Ferheen Baig, Richard T. Blankley, et al.. (2017). Plasma Proteomics for Epidemiology. Circulation Cardiovascular Genetics. 10(6). 12 indexed citations
8.
Willeit, Peter, Philipp Skroblin, Alexander R. Moschen, et al.. (2016). Circulating MicroRNA-122 Is Associated With the Risk of New-Onset Metabolic Syndrome and Type 2 Diabetes. Diabetes. 66(2). 347–357. 201 indexed citations
9.
Pechlaner, Raimund, Stefan Kiechl, Manuel Mayr, et al.. (2015). Correlates of serum hepcidin levels and its association with cardiovascular disease in an elderly general population. Clinical Chemistry and Laboratory Medicine (CCLM). 54(1). 151–61. 21 indexed citations
10.
Willeit, Peter, Stefan Kiechl, Florian Kronenberg, et al.. (2014). Discrimination and Net Reclassification of Cardiovascular Risk With Lipoprotein(a). Journal of the American College of Cardiology. 64(9). 851–860. 210 indexed citations
11.
Beyer, Christian, Anna Zampetaki, Neng‐Yu Lin, et al.. (2014). Signature of circulating microRNAs in osteoarthritis. Annals of the Rheumatic Diseases. 74(3). e18–e18. 138 indexed citations
12.
Stegemann, Christin, Raimund Pechlaner, Peter Willeit, et al.. (2014). Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study. Circulation. 129(18). 1821–1831. 418 indexed citations breakdown →
13.
Beyer, Christian, Anna Zampetaki, Arnd Kleyer, et al.. (2014). OP0003 Signature of Circulating Micrornas in Osteoarthritis. Annals of the Rheumatic Diseases. 73. 60–61. 8 indexed citations
14.
Tsimikas, Sotirios, Peter Willeit, Johann Willeit, et al.. (2012). Oxidation-Specific Biomarkers, Prospective 15-Year Cardiovascular and Stroke Outcomes, and Net Reclassification of Cardiovascular Events. Journal of the American College of Cardiology. 60(21). 2218–2229. 168 indexed citations
15.
Kiechl, Stefan, Terry Lee, Peter Santer, et al.. (2008). Asymmetric and symmetric dimethylarginines are of similar predictive value for cardiovascular risk in the general population. Atherosclerosis. 205(1). 261–265. 61 indexed citations
16.
Mayr, Andreas, et al.. (2006). Comparison of Hematologic Data in World Elite Junior Speed Skaters and in Non-Athletic Juniors. International Journal of Sports Medicine. 27(4). 283–288. 15 indexed citations
17.
Kiechl, Stefan, Georg Schett, Gregor K. Wenning, et al.. (2004). Osteoprotegerin Is a Risk Factor for Progressive Atherosclerosis and Cardiovascular Disease. Circulation. 109(18). 2175–2180. 426 indexed citations
18.
Willeit, Johann, Stefan Kiechl, Thomas Weimer, et al.. (2003). Marburg I Polymorphism of Factor VII–Activating Protease. Circulation. 107(5). 667–670. 85 indexed citations
19.
Kronenberg, Florian, Martina F. Kronenberg, Stefan Kiechl, et al.. (1999). Role of Lipoprotein(a) and Apolipoprotein(a) Phenotype in Atherogenesis. Circulation. 100(11). 1154–1160. 225 indexed citations
20.
Kiechl, Stefan, Armin Muigg, Peter Santer, et al.. (1999). Poor Response to Activated Protein C as a Prominent Risk Predictor of Advanced Atherosclerosis and Arterial Disease. Circulation. 99(5). 614–619. 46 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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